Sustainable Development and Social Responsibility--Volume 2: Proceedings of the 2nd American University in the Emirates International Research Confere

Dr. Ahmed N. AL-Masri
An Associate Professor in the College of Computer Information Technology at the American University in the Emirates. He earned his PhD from the University Putra Malaysia. He has over 10 years’ experience in teaching and research in Educational Data Analytics Technologies, Electrical Engineering, IoT and Artificial Intelligence. He is a regular editor of various journals specializing in data analysis. His current research interests include E-Learning, Internet of Things (IoT), machine learning and data mining. Dr. Ahmed is a member of the Institute of Electrical and Electronic Engineers (IEEE).
Prof. Dr. Yousef Al-AssafProfessor, President of Rochester Institute of Technology- Dubai. Dr. Al-Assaf had his PhD from Oxford University and leadership training from Cornell University. He is a widely published and academic and senior education management professional with extensive international experience. He is currently President of Rochester Institute of Technology- Dubai, a leading not for profit international branch of RIT Rochester, New York. RIT Dubai University is established in conjunction with the Dubai Government in Dubai Silicon Oasis. Prior to this, he was Dean of the College of Engineering at the American University of Sharjah where he was one of the founding members of the electrical engineering and computer engineering programs. During his tenure at RIT Dubai, he has ensured that the university plays a major role in the ecosystem of Dubai Silicon Oasis and supporting the achievements of Dubai vision. Introduced a number of new programs, certifications, and initiatives to meet the needs of public and technology partners including Smart City Sciences, Data Analytics, Emerging Technologies, Corporate and Customer Happiness, Future Shaping, Computing Security and Sustainability among others. Dr. Al-Assaf research focuses on using soft computing to model and control various industrial, business and medical systems. Applications include materials modeling and classification, prostheses control, industrial quality control, and optimization. His industrial experience is in the areas of adaptive and predictive control, soft computing and industrial instrumentation and control.